Machine Learning Engineer

Job Title: AI/ML Developer

Location:

Job Type:

Company:

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About Blue Polaris

Blue Polaris

We don’t just solve problems — we model how organizations think, decide, and act. By combining AI, analytics, business architecture, and human expertise, we help enterprises improve outcomes at scale.

As we expand into Latin America, we are building a hub in Panama and seeking top talent to shape the future of decision intelligence.

Key Responsibilities

• Design and implement AI/ML models using

  Python

  , with a focus on large language models (LLMs) such as

  GPT

  ,

  LLaMA

  , and others.
• Integrate AI models into real-world applications using tools and frameworks like

  LangChain

  ,

  WatsonX

  ,

  Watson Studio

  ,

  Amazon SageMaker

  ,

  Azure Machine Learning

  , etc.
• Collaborate with cross-functional teams to ensure AI/ML models are well-integrated, scalable, and efficient within client solutions.
• Stay up to date with the latest AI research, model architectures, and tooling in both open-source and proprietary ecosystems.

• [Preferred]

  Implement or support

  fine-tuning

  of LLMs and

  vision models

  , applying best practices and efficiency techniques.

Preferred Additions to Your Skillset (Nice to Have)

• Experience with model fine-tuning techniques

  , including:
• Adapter-based methods (e.g.,

  LoRA

  ,

  QLoRA

  )
• Quantization (4-bit, 8-bit models)
• Parameter-efficient fine-tuning (PEFT)

• Hands-on familiarity with Hugging Face ecosystem

  , especially:

• Transformers

• PEFT

• Datasets

• Understanding of training fundamentals:
• Forward/backward passes

• Matrix factorization

• Gradients & optimization algorithms (e.g.,

  AdamW

  )
• Overfitting control, rank selection, and hyperparameter tuning

• GPU/resource management experience

  , including:
• Training large models (7B+ parameters)
• Memory optimization across single or multi-GPU environments
• Familiarity with evaluation metrics like

  perplexity

  ,

  BLEU

  ,

  ROUGE

  , or task-specific benchmarks

Mandatory Skills & Qualifications

• Strong proficiency in

  Python

• 2–3 years of hands-on experience in

  machine learning projects

• Experience with

  LLMs

  and other deep learning architectures
• Experience with

  OpenAI APIs

  or other open-source foundation models
• Familiarity with tools like:

• LangChain

  ,

  WatsonX

  ,

  Watson Studio

• Azure ML

  ,

  AWS SageMaker

  ,

  Amazon Bedrock

• Git

  ,

  Docker

• Proven ability to integrate statistical and AI-based models into applications

Education

• Bachelor’s degree in computer science

  , Engineering, or a related field (preferred)

Experience Requirements

• Total work experience:

  2–3 years

• Python development:

  2+ years

• Machine Learning:

  2+ years

• LLMs or NLP-based systems:

  1–2 years